Global concern about the impact of fake news on our societies is on the rise. Hence, there is an immediate need for the design, implementation, and adoption of new systems and algorithms that are able to identify and differentiate between fake and real news. However, with the increase in the number of social media usersIn 2018, an estimated 2.65 billion people were using social media worldwide, a number projected to increase to almost 3.1 billion in 2021 [1]}., the quantity of generated content is increasing rapidly, which hinders the identification of fabricated stories [2]} and prevents the identification of a significant amount of information that can potentially give rise to false rumours. Therefore, verifying the credibility of a tweet or assigning a score to users based on the information they have been sharing is a problem that has caught the interest of many academic and industrial researchers [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}.
